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Translation · Hinglish

Hinglish Translation & Localisation Data

Human translation and parallel-corpus creation across Indian languages, built for machine-translation training and multilingual LLM evaluation rather than for publication. This page covers how that works specifically for Hinglish, where intra-sentential switching means english words carry indian phonology, so english acoustic models mis-transcribe them.

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Abstract visualisation of translation between two Indian languages — Hinglish Translation & Localisation Data
Language
Hinglish (hi-Latn-IN)
Dialects covered
4
Typical programme
500-2,000 hours
Cities
Delhi, Gurugram, Noida
01

What changes when the language is Hinglish

The service specification stays constant across languages; the linguistics do not. For Hinglish, three things drive the design of a translation programme.

  • Intra-sentential switching means English words carry Indian phonology, so English acoustic models mis-transcribe them
  • Dialect spread: Delhi corporate Hinglish, Mumbai Bambaiya, Call-centre register, Youth/social media register
  • Hinglish is the code-mixing case itself. Typical urban customer-support speech is 30-60% English tokens embedded in Hindi grammar, with switching several times per utterance.
Translation — Hinglish · written into the SOW before recordingDirectionEnglish to Indian languages and between Indian languagesOutputSentence-aligned parallel corporaRegisterFormal, colloquial, or matched to your product toneReviewIndependent bilingual review passTerminologyClient glossary enforced and returned updatedYour values replace ours rather than being converted after delivery.
02

Technical specification

ParameterStandard
DirectionEnglish to Indian languages and between Indian languages
OutputSentence-aligned parallel corpora
RegisterFormal, colloquial, or matched to your product tone
ReviewIndependent bilingual review pass
TerminologyClient glossary enforced and returned updated
Audio waveforms being prepared as ASR training data — supporting hinglish translation & localisation data
Audio waveforms being prepared as ASR training data
03

Hinglish cohort design

Recruit by switching behaviour, not by language proficiency. Screening recordings are used to confirm speakers switch naturally rather than performing one language.

DimensionTypical splitWhy it matters for Hinglish
Gender50 / 50Pitch range differences change acoustic model behaviour; unbalanced cohorts bias recognition
Age18-25: 30%, 26-40: 40%, 41-60: 30%Older speakers retain conservative Hinglish forms that younger urban speakers have lost
RegionDelhi NCR / Mumbai / Bengaluru and othersDialect spread across 4 recognised varieties
EducationMixed, including below-graduatePrompt-reading fluency correlates with education and skews prosody
ConditionStudio / quiet room / fieldMatch the noise profile of your deployment
04

Process

  • Glossary and register agreement
  • Translation by native speakers of the target language
  • Independent bilingual review
  • Alignment verification
  • Delivery with terminology report
05

Hinglish-specific quality rules

  • Whether English tokens are written in Latin or transliterated into Devanagari must be fixed by rule, not left to annotators
  • Language-ID tagging per token is required for training but is skipped by most vendors
  • Ambiguous words shared by both languages need an explicit tie-break rule

Back-translation checks are run on a sample so you can see where source ambiguity, not translator error, causes divergence.

06

Deliverables

  • Sentence-aligned parallel data
  • Updated glossary
  • Reviewer notes on ambiguous source
07

Worked example

A representative Hinglish translation engagement: 500 hours from 1,000 speakers, 50/50 gender, ages 18-45, spread across Delhi, Gurugram, Noida, recorded to the specification above and delivered in WAV with a per-utterance manifest.

Timeline: 2-4 weeks for typical corpus volumes per language pair.

08

Where this data is missing today

Almost no public corpus contains genuine intra-sentential Hindi-English switching with per-token language tags. This is the highest-value gap for anyone building Indian conversational AI.

Frequently asked

How much does Hinglish translation cost?

Priced per delivered hour or unit against a written spec. The cost drivers for Hinglish are dialect spread, demographic narrowness and recording condition, in that order.

Which Hinglish dialects are included?

By default Delhi corporate Hinglish, Mumbai Bambaiya, Call-centre register, Youth/social media register and others, tagged per speaker. You can also commission a single-dialect corpus if you are targeting one region.

Can you deliver Hinglish data in our format?

Yes. Sentence-aligned parallel data is the default, but naming, schema and directory structure follow your pipeline.

How long does a Hinglish programme take?

2-4 weeks for typical corpus volumes per language pair.

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Hours, speakers, dialects, deadline. Send what you have.

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